Metaverse Stock Screening with Auction Net Buying and Fund Strength

Summary

This document presents a Chinese stock screen built around three conditions: membership in the metaverse theme, positive net buying by major participants during the opening auction, and a fund-strength measure ranked from high to low. Its rationale is to combine a market theme with signs of buying pressure and relative investor interest. Formula and Python examples illustrate how the theme and changing flow or turnover measures might be processed.

The article does not provide a backtest, quantified results, or evidence that these signals forecast returns. It identifies several limitations: simple filters can miss or wrongly select stocks, flows and popularity do not capture company fundamentals, and the fund-strength indicator may lag. It suggests adding technical and fundamental criteria, considering industry position and prospects, and adjusting the strength measure. The code is illustrative; the examples use specific data fields and rolling comparisons, so they do not establish that the implementation faithfully reproduces the stated selection rule or works across data sources.

Key ideas

• The screen combines metaverse theme membership, positive auction net buying, and ranked fund strength.
• Its rationale is to select stocks with thematic attention and signs of buying interest.
• The document supplies formula and code examples but no backtest or return evidence.
• The approach may omit fundamentals and can be affected by delayed flow indicators.
• Additional technical, fundamental, and industry filters are suggested.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.